Build a solid technical foundation in Python, machine learning, and applied AI to launch a career building production-ready AI applications.
Enroll in individual courses below. Complete all 6 courses to earn your Certified AI Builder certificate.
Build the professional Python foundation every AI engineer needs. Over four weeks, master modern type hinting, data manipulation with Pandas, structured LLM outputs with Pydantic, and async programming — culminating in a fully async data pipeline.
Master the mathematics that powers every AI system. Over four weeks, go from linear algebra and probability through transformer mechanics and distance metrics — building a semantic search engine from scratch as your capstone.
Build the data pipelines that feed production AI systems. Over four weeks, master SQL-based ETL, unstructured PDF parsing, multimodal semantic chunking, and unsupervised data clustering — ending with a multimodal knowledge ingestor.
Deploy and fine-tune small language models entirely on your own hardware. Over five weeks, go from ML baselines through the SLM ecosystem, local quantized deployment, LoRA fine-tuning, and containerized serving — ending with an air-gapped support bot.
Build retrieval-augmented and agentic AI systems end-to-end. Over five weeks, implement standard and advanced RAG pipelines, tool-calling agents, graph-based multi-agent workflows, and autonomous systems — culminating in a fully autonomous research agent.
Ship production AI and land your first role. Over three weeks, containerize and deploy agents behind FastAPI, implement security guardrails and full observability, then build a portfolio-worthy capstone and prepare for AI engineering interviews.
College students, career switchers, and junior developers.
Complete all 6 courses to earn your Certified AI Builder certificate.